In this work, I study the impact of high-frequency trading (HFT) on price discovery and volatility in the Bund futures market. Using a new dataset based on microseconds, the focus of the study is on the reaction of high-frequency traders (HFTs) to major macroeconomic news events. I show that...

Using microdata on stock-level lending positions from German mutual funds, we show that active funds use the equity lending market to obtain information about short sale demand. Funds reduce long positions in response to these demand signals, which allows fund managers to front-run public...

Using a unique data set that contains the complete ownership structure of the German stock market, we study the momentum and contrarian trading of different investor groups. Foreign investors and financial institutions, and especially mutual funds, are momentum traders, whereas private...

During the global financial crisis, stressed market conditions led to skyrocketing corporate bond spreads that could not be explained by conventional modeling approaches. This paper builds on this observation and sheds light on time-variations in the relationship between systematic risk factors...

We combine modern methods from Speech Emotion Recognition and Natural Language Processing with high-frequency financial data to precisely analyze how the vocal emo- tions and language of ECB President Mario Draghi affect the yields and yield spreads of major euro area economies. This novel...

In this paper we show that informational and real frictions in CDS markets strongly affect CDS premia. We derive this main finding using a proprietary set of individual CDS transactions cleared by the Depository Trust & Clearing Corporation. We first show that CDS traders adjust the CDS premium...

We use a model with agency frictions to analyze the structure of a dealer market that faces competition from a crossing network. Traders are privately informed about their types (e.g. their portfolios), which is something the dealer must take into account when engaging his counterparties....

This study identifies empirically the impact of various macroeconomic factors on the default risk premium. Using monthly data for the period 1970-2010 for the U.S., our estimations indicate that the monetary policy aggregates, risk-free interest rate, term structure of interest rates, inflation,...

We utilize the Eurosystem securities lending facilities as a laboratory to investigate the impact of collateral scarcity on market functioning. The reduction of securities lending fees, implemented in November 2020, provides a natural experiment for our analyses. This policy change results in a...

We study whether the low interest rate environment paired with booming housing markets affected banks' foreign activities in terms of commercial and residential real estate backed lending. Using a unique dataset covering systemically relevant banks in the euro area over the period 2015-2022, we...